Downloads the list of transcription factors from TF census

Vaquerizas et al. published in 2009 a list of transcription factors. This function retrieves Supplementary Table 2 from the article (http://www.nature.com/nrg/journal/v10/n4/index.html).

Usage

tfcensus_download()

Value

A data frame (tibble) listing transcription factors.

Examples

tfcensus <- tfcensus_download()
tfcensus
#> # A tibble: 1,987 × 7
#>    Class `Ensembl ID`    `IPI ID`                Inter…¹ Inter…² HGNC …³ Tissu…⁴
#>    <chr> <chr>           <chr>                   <chr>   <chr>   <chr>   <chr>  
#>  1 a     ENSG00000001167 IPI00218470;IPI00333568 NA      IPR001… NFYA    NA     
#>  2 a     ENSG00000004848 IPI00045066             IPR000… NA      ARX     NA     
#>  3 a     ENSG00000005073 IPI00010754;IPI00807582 IPR001… NA      HOXA11  uterus 
#>  4 a     ENSG00000005513 IPI00299069;IPI00386303 IPR000… NA      SOX8    NA     
#>  5 a     ENSG00000005889 IPI00012336;IPI0016938… IPR007… IPR006… ZFX     general
#>  6 a     ENSG00000006377 IPI00008195             IPR000… NA      DLX6    NA     
#>  7 a     ENSG00000006468 IPI00221065;IPI0030643… IPR000… NA      ETV1    adrena…
#>  8 a     ENSG00000007372 IPI00218800;IPI0044907… IPR001… NA      PAX6    NA     
#>  9 a     ENSG00000007866 IPI00385455;IPI0041234… NA      IPR000… TEAD3   placen…
#> 10 a     ENSG00000007968 IPI00290548             IPR003… IPR015… E2F2    NA     
#> # … with 1,977 more rows, and abbreviated variable names ¹`Interpro DBD`,
#> #   ²`Interpro DNA-binding family`, ³`HGNC symbol`, ⁴`Tissue-specificity`
# # A tibble: 1,987 x 7
#    Class `Ensembl ID` `IPI ID` `Interpro DBD` `Interpro DNA-b.
#    <chr> <chr>        <chr>    <chr>          <chr>
#  1 a     ENSG0000000. IPI0021. NA             IPR001289
#  2 a     ENSG0000000. IPI0004. IPR000047;IPR. NA
#  3 a     ENSG0000000. IPI0001. IPR001356;IPR. NA
#  4 a     ENSG0000000. IPI0029. IPR000910;IPR. NA
#  5 a     ENSG0000000. IPI0001. IPR007087;IPR. IPR006794
# # . with 1,977 more rows, and 2 more variables: `HGNC symbol` <chr>,
# # `Tissue-specificity` <chr>